Who's Leading This Dance?: Theorizing Automatic and Strategic Synchrony in Human-Exoskeleton Interactions
Overview
Affiliations
Wearable robots are an emerging form of technology that allow organizations to combine the strength, precision, and performance of machines with the flexibility, intelligence, and problem-solving abilities of human wearers. Active exoskeletons are a type of wearable robot that gives wearers the ability to effortlessly lift up to 200 lbs., as well as perform other types of physically demanding tasks that would be too strenuous for most humans. Synchronization between exoskeleton suits and wearers is one of the most challenging requirements to operate these technologies effectively. In this conceptual paper, we extend interpersonal adaption theory (IAT) to the exoskeleton context and explicate (a) the antecedents that are most likely to shape synchrony in human-exoskeleton interactions, (b) automatic and strategic synchrony as adaptive behaviors in human-exoskeleton interactions, and (c) outcome variables that are especially important in these processes. Lastly, we offer a discussion of key methodological challenges for measuring synchrony in human-exoskeleton interactions and offer a future research agenda for this important area.
Pollard R, Bass S, Schall Jr M, Zabala M Sensors (Basel). 2024; 24(17).
PMID: 39275584 PMC: 11397979. DOI: 10.3390/s24175673.
Hybart R, Ferris D PLoS One. 2023; 18(11):e0294241.
PMID: 37956157 PMC: 10642814. DOI: 10.1371/journal.pone.0294241.
Sensemaking, adaptation and agency in human-exoskeleton synchrony.
Wilkenfeld J, Kim S, Upasani S, Kirkwood G, Dunbar N, Srinivasan D Front Robot AI. 2023; 10:1207052.
PMID: 37901167 PMC: 10602643. DOI: 10.3389/frobt.2023.1207052.
Passive Exoskeleton with Gait-Based Knee Joint Support for Individuals with Cerebral Palsy.
Kennard M, Kadone H, Shimizu Y, Suzuki K Sensors (Basel). 2022; 22(22).
PMID: 36433532 PMC: 9699336. DOI: 10.3390/s22228935.
Resonance as a Design Strategy for AI and Social Robots.
Lomas J, Lin A, Dikker S, Forster D, Lupetti M, Huisman G Front Neurorobot. 2022; 16:850489.
PMID: 35574227 PMC: 9097027. DOI: 10.3389/fnbot.2022.850489.